> Canonical page: https://posttrainllm.com/inspiration/coreml-llm

A note of thanks · Mac runtimes

# CoreML-LLM

CoreML-LLM is a community example of taking owned weights toward Apple's Neural Engine. It informs our research boundary; it is not a shipped PostTrainLLM engine.

01 · The idea

## What stayed with us

CoreML-LLM is a community example of taking owned weights toward Apple's Neural Engine. It informs our research boundary; it is not a shipped PostTrainLLM engine.

02 · The local translation

## What we did with it

Our ANE dossier uses community implementations to understand conversion, layout, and execution constraints. CoreML-LLM offers one concrete way to study an ANE-oriented stack while our native work keeps model ownership and exact evaluation separate from the serving layer.

03 · The boundary

## Where the comparison stops

We have not adopted CoreML-LLM as the PostTrainLLM app engine or established a same-model, same-Mac comparison. Upstream speed claims require their exact hardware, model, and settings before they can inform a local choice.

Source trail

## Follow the work

- Original project [CoreML-LLM source ↗](https://github.com/john-rocky/CoreML-LLM)
- Our context [Our ANE research dossier ↗](https://posttrainllm.com/docs/learn/ane-research/dossier/)

Independent appreciation. The named projects have not endorsed or affiliated with PostTrainLLM.